Bingqing Shen, Xirui Xiong, Han Yu, Pan Hu, Lihong Jiang, Hongming Cai
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引用次数: 0
Abstract
The emerging information technologies are leading the new generation of industrial revolution. The manufacturing industry is benefited by the combination of cybernetic and physical systems. To facilitate decision-making, digital twins can reflect production realities to human/intelligent agents. But, it is not sufficient to support manufacturing in highly complex manufacturing environments. For this purpose, we proposed a new digital twin-based manufacturing paradigm and an online interactive simulation framework, which can provide both diagnostic and prognostic support. Moreover, we introduced an implementation approach and realized a prototype system. By comparing with existing smart manufacturing systems, our design can better support production decision-making. Thus, this work takes the first step to achieve smarter manufacturing.